The skin cancer classification using deep convolutional neural network

• Published in: Multimedia tools and applications Vol. 77; no. 8; pp. 9909 - 9924
• Main Authors: Dorj, Ulzii-Orshikh, Lee, Keun-Kwang, Choi, Jae-Young, Lee, Malrey
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2018; Springer Nature B.V
• Subjects: Artificial neural networks; Cancer; Classification; Color imagery; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Feature extraction; Multimedia Information Systems; Neural networks; Noise reduction; Organs; Skin cancer; Special Purpose and Application-Based Systems; Squamous cell carcinoma; Deep learning; Image analysis; Skin cancer types; Convolutional neural network; Classification; Skin cancer

This paper addresses the demand for an intelligent and rapid classification system of skin cancer using contemporary highly-efficient deep convolutional neural network. In this paper, we mainly focus on the task of classifying the skin cancer using ECOC SVM, and deep convolutional neural network. RG...